Triple

T16568634
Position Surface form Disambiguated ID Type / Status
Subject Mopti Region E402527 entity
Predicate contains P35 FINISHED
Object Douentza
Douentza is a town and commune in central Mali that serves as an important local hub for trade and administration within the Sahel region.
E1221492 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Douentza | Statement: [Mopti Region, contains, Douentza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douentza
Context triple: [Mopti Region, contains, Douentza]
  • A. Gouédic
    Gouédic is a small river in the Côtes-d'Armor department of Brittany in northwestern France.
  • B. Oussouye
    Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
  • C. Ouezzane
    Ouezzane is a historic town in northern Morocco known as a spiritual center and gateway to the Rif Mountains.
  • D. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • E. Mouila
    Mouila is a town in southwestern Gabon that serves as an important administrative and commercial center in the Ngounié region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Douentza
Triple: [Mopti Region, contains, Douentza]
Generated description
Douentza is a town and commune in central Mali that serves as an important local hub for trade and administration within the Sahel region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Douentza
Target entity description: Douentza is a town and commune in central Mali that serves as an important local hub for trade and administration within the Sahel region.
  • A. Gouédic
    Gouédic is a small river in the Côtes-d'Armor department of Brittany in northwestern France.
  • B. Oussouye
    Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
  • C. Ouezzane
    Ouezzane is a historic town in northern Morocco known as a spiritual center and gateway to the Rif Mountains.
  • D. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • E. Mouila
    Mouila is a town in southwestern Gabon that serves as an important administrative and commercial center in the Ngounié region.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35773c00c819091731bebc02a69bb completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee3dcbc819087ea66b262585232 completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006ff5bdb88190be90d7446e24b61f completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a007088fd988190b3dfef081769d03e completed May 10, 2026, 11:48 a.m.
Created at: April 10, 2026, 5:16 a.m.